AI/ML Engineer / Generative AI Engineer

TALENT Software Services; Indianapolis (IN); On-site; USD 96,000 - 152,000; Full time

Job summary

TALENT Software Services is seeking an AI/ML Engineer to design and implement enterprise-scale AI/ML and Generative AI solutions for clinical data workflows in Indianapolis. You will deliver secure, scalable architectures and own project delivery with emphasis on technical excellence.

Applicants should have 5+ years in software, data, or ML engineering, 3+ years deploying ML to production, and strong AWS/Databricks/Python/PySpark experience. This is a 6-month on-site engagement in Indianapolis.

Qualifications

• Bachelor’s degree in CS/Engineering/Math/Stats or related field.
• Equivalent professional experience may be considered.
• 5+ years of software, data, or ML engineering experience.
• 3+ years deploying ML solutions into production.
• Strong experience with AWS, Databricks, Python, PySpark, and DevOps.

Responsibilities

• Design, engineer, and implement enterprise-scale AI/ML and Generative AI solutions for clinical data workflows.
• Deliver secure and scalable AI architectures independently.
• Maintain accountability for project delivery and technical excellence.
• Develop solutions supporting clinical data workflows and enterprise AI initiatives.
• Own project scope and delivery accountability.

Skills

ML engineering experience

Production ML deployment

Problem solving

Education

Bachelor’s degree in CS/Engineering/Math/Stats

Tools

AWS

Databricks

Python

PySpark

SQL

Git

CI/CD

Docker

Kubernetes

Terraform

CloudFormation

Job description

• Location: Indianapolis, IN
• Duration: 6 months
• GBaMS ReqID: 10937381
• Essential / Digital Skill: Artificial Intelligence (AI)
• Experience Required: 4-6 years

Job Details

• Job Title: AI/ML Engineer / Generative AI Engineer
• Location: Indianapolis, IN
• Duration: 6 months
• GBaMS ReqID: 10937381
• Essential / Digital Skill: Artificial Intelligence (AI)
• Experience Required: 4-6 years

Role Summary

• Design, engineer, and implement enterprise-scale AI/ML and Generative AI solutions for clinical data workflows.
• Deliver secure and scalable AI architectures independently.
• Maintain accountability for project delivery and technical excellence.
• Develop solutions supporting clinical data workflows and enterprise AI initiatives.

Key Responsibilities

• Conceive, design, and implement AI solutions.
• Analyze business and technical workflows and develop innovative technical approaches.
• Design secure and scalable architectures for:
  • AI/ML
  • Generative AI
  • Agentic AI solutions
• Design and implement emerging AI technologies, including:
  • Retrieval-Augmented Generation (RAG)
  • Agentic workflows
  • Agent-to-agent communication
• Build and deploy predictive analytics and Generative AI solutions into production.
• Develop robust:
  • Data pipelines
  • Model pipelines
  • APIs
  • Integration layers
• Establish and implement AI/MLOps best practices.
• Implement:
  • CI/CD pipelines
  • Monitoring
  • Observability
• Own project scope and delivery accountability.
• Ensure AI solutions meet enterprise security, scalability, and reliability requirements.

Required Qualifications

• Bachelor’s degree in:
  • Computer Science
  • Engineering
  • Mathematics
  • Statistics
  • Related field
• Equivalent professional experience may be considered.
• 5+ years of software, data, or ML engineering experience.
• 3+ years of experience deploying ML solutions into production.
• Strong experience with AWS, Databricks, Python, PySpark, and DevOps technologies.

AWS Technologies

• Amazon SageMaker
• Amazon EC2
• Amazon S3
• AWS Lambda
• Amazon RDS
• AWS Glue
• Amazon Athena
• Amazon DynamoDB
• PostgreSQL

Databricks Technologies

• Databricks Platform
• Delta Lake
• Apache Spark
• MLflow
• Databricks SQL

Programming & Data

• Python
• PySpark
• SQL
• Apache Spark

DevOps & Infrastructure

• Git
• CI/CD
• Docker
• Kubernetes
• Infrastructure as Code (IaC)
• Terraform
• CloudFormation

AI & Data Technologies

• Generative AI frameworks
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• Agent-to-agent communication
• Vector Databases
• Predictive Analytics
• Machine Learning
• AI/MLOps

Key Skills / Keywords

• Artificial Intelligence (AI)
• Machine Learning
• Generative AI
• Agentic AI
• LLMs
• RAG
• Vector Databases
• AWS
• SageMaker
• Databricks
• Delta Lake
• Spark
• MLflow
• Python
• PySpark
• SQL
• CI/CD
• Docker
• Kubernetes
• Terraform
• CloudFormation
• MLOps
• Clinical Data Workflows
• Predictive Analytics